We are Strawberry. With over 245 hotels, 120 restaurants, 20 spas and more, we create thousands of experiences every day. With urban Comfort Hotel®, warm Quality Hotel™, stylish Clarion Hotel® and cosy Home Hotel and more than 40 unique independent hotels, our guests can pick and choose. Our team of 20,000 passionate individuals from more than 120 countries is what makes us grow! Strawberry is built on our core values: energy, courage and enthusiasm.

At Strawberry, we are building a universe of experiences, transforming the hospitality landscape through innovation and technology. Our core business goal is simple but ambitious: to put heads in beds with profitability and sustainability in mind and be true to our People, Planet, Profit mission.

To help us achieve this, we are establishing a new Data Science competency within our Data and Insight team. This is a 12-month position designed to pioneer and mature the Data Science role within our company. You will have the unique opportunity to prove the transformative business value of advanced machine learning and AI in our daily operations. If you are excited by the challenge of building scalable data products from the ground up and laying the foundation for next-generation analytics, this is the role for you.

During this 12-month contract, you will focus on high-impact initiatives to prove the value of this new competency. Key projects include:

• Predictive Analytics: Developing models for booking cancellation prediction, customer lifetime value forecasting, and customer classification.

• Unstructured Data & LLMs: Applying Large Language Models to extract and categorize information from unstructured data and POS systems (e.g., invoice data classification, classification and clean-up routines of our master items).

• Conversational AI: Acting as a member of the team building the foundation of our new conversational analytics products.

Key Responsibilities: As our Data Scientist, your primary focus will be transforming complex business problems into scalable, production-ready solutions.

• Model Development & MLOps: 

  • Design, build, and deploy advanced ML models and AI solutions.

  • Establish best practices for MLOps, ensuring models are tested, versioned, monitored, and efficiently deployed and maintained in production.

• Strategic Collaboration & Storytelling: 

  • Partner with various Data Product Teams to understand their specific needs and build predictive data products that can be used in operations and decision-making on demand.

  • Communicate complex model results clearly to diverse stakeholders, effectively translating technical data into actionable business narratives.

• Data Foundation & Governance: 

  • Collaborate with our Data Architect to design and optimize the workflow of data pipelines for data science projects.

  • Work alongside our Data Governance Manager to ensure data flowing in and out of your models is monitored, secure, and access-governed.

What You'll Need: 

• Experience: 5+ years of relevant professional experience, with a strong focus on building and deploying machine learning models into production.

• Education: BSc/BA in a relevant quantitative field (e.g., Computer Science, Data Science, Engineering, Mathematics).

• Technical Proficiency:

  • Expertise in Python (or R) and core ML/AI libraries (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face).

  • Strong working knowledge of SQL and experience querying large datasets in modern cloud data warehouses (ideally Snowflake).

  • Demonstrable experience with Generative AI/LLM techniques, specifically for text analysis and classification.

  • Experience with cloud platforms (e.g., Snowflake, Azure, AWS, GCP) for MLOps and deployment.

  • Familiarity with data visualization tools like Power BI to leverage semantic models.

• Soft Skills:

  • Exceptional collaboration skills with a proven ability to work cross-functionally.

  • Outstanding communication skills, with the ability to explain complex data insights to non-technical stakeholders.

  • A meticulous approach and unwavering commitment to data quality and model integrity.